EP 4325778 A4 20240612 - METHOD AND APPARATUS FOR DETERMINING SIGNAL DETECTION NETWORK
Title (en)
METHOD AND APPARATUS FOR DETERMINING SIGNAL DETECTION NETWORK
Title (de)
VERFAHREN UND VORRICHTUNG ZUR BESTIMMUNG EINES SIGNALDETEKTIONSNETZWERKS
Title (fr)
PROCÉDÉ ET APPAREIL DESTINÉS À DÉTERMINER UN RÉSEAU DE DÉTECTION DE SIGNAL
Publication
Application
Priority
CN 2021087901 W 20210416
Abstract (en)
[origin: EP4325778A1] The present disclosure relates to a method and apparatus for determining a signal detection network. The method comprises: determining sample communication parameters of communication performed between a sample transmitting end and a sample receiving end by means of a sample intelligent reflecting surface (IRS) (S101); and training an initial neural network on the basis of a training sample set composed of the sample communication parameters, so as to obtain a signal detection network, wherein an input of the initial neural network is the sample communication parameters, and an output of the initial neural network is an estimated value of a transmitted signal of the sample transmitting end (S102). By means of the present disclosure, an initial neural network can be trained on the basis of a training sample set, so as to obtain a signal detection network. Since the neural network is not a linear algorithm, and the neural network is not limited to performing calculation on a linear relationship, same can be effectively used for signal detection even in a complex communication environment having many nonlinear factors, and can obtain a high-precision estimation result for a transmitted signal.
IPC 8 full level
H04L 25/02 (2006.01); G06N 3/08 (2023.01); H04L 25/06 (2006.01)
CPC (source: EP US)
G06N 3/04 (2013.01 - US); G06N 3/045 (2023.01 - EP); G06N 3/08 (2013.01 - EP US); G06N 3/084 (2013.01 - EP); H04B 7/04013 (2023.05 - EP US); H04B 7/0665 (2013.01 - US); H04L 25/0254 (2013.01 - EP); H04L 25/06 (2013.01 - EP)
Citation (search report)
- [A] US 2017330586 A1 20171116 - ROBLEK DOMINIK [CH], et al
- [XI] SAUD KHAN ET AL: "Deep-Learning-Aided Detection for Reconfigurable Intelligent Surfaces", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 27 July 2020 (2020-07-27), XP081704139
- See also references of WO 2022217609A1
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
Designated validation state (EPC)
KH MA MD TN
DOCDB simple family (publication)
EP 4325778 A1 20240221; EP 4325778 A4 20240612; CN 115769551 A 20230307; US 2024137074 A1 20240425; WO 2022217609 A1 20221020
DOCDB simple family (application)
EP 21936484 A 20210416; CN 2021087901 W 20210416; CN 202180000927 A 20210416; US 202118287104 A 20210416